• The Korean Journal of Food And Nutrition
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• v.21 no.3
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• pp.355-365
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• 2008

The purpose of this study was to investigate the food sanitation awareness and performance of foodservice industry employees. Based on a literature review, a questionnaire was developed to identify the food sanitation education, experience, knowledge, and food sanitation practices of the employees. A total of 376 Korean food industry employees participated, and there were 344 usable questionnaires. In the analysis of food sanitation knowledge, the statements "clip fingernails short and do not use nail polish", and "if feeling sick, even with a minor cold, speak to your supervisor immediately", had the highest and lowest percentages of correct answers, respectively. In assessing employee sanitary management practices, many correctly acknowledged "clip fingernails short and do not use nail polish" and "wash hands after using the toilet", which received high scores; however, "use hands to pick up ice" and "if feeling sick, even with a minor cold, speak to your supervisor immediately" had low scores. The sanitary knowledge and practice levels of the employees were not significantly different according to gender, age, work area, job title, or duration of duty. Among the surveyed industries, employees of special restaurants had the least sanitary knowledge(p<0.05) and practice scores(p<0.001). Employees who had worked for $1{\sim}3$ years presented the least sanitary management practice level scores(p<0.05).). In addition, college students and participants without hygiene educational experience showed the least levels of sanitary knowledge(p<0.01). Scores for sanitary management practice were higher when hygiene education was regularly conducted more than once per month. Employees showed significantly higher knowledge and sanitary management practice levels when they were required to use a sanitary checklist(p<0.001), and employees who were trained in HACCP had significantly higher sanitary checklist scores(p<0.05). In foodservices that applied HACCP, the employees showed higher knowledge and sanitary management practice levels(p<0.001).

• Korean Journal of Construction Engineering and Management
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• v.2 no.3 s.7
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• pp.45-57
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• 2001

Knowledge management was introduced as a new strategy in many construction companies aiming at paradigm shift since Asian financial Crisis. However, intensive focusing on acquiring and sharing knowledge couldn't keep pace with the primary goal. Increasing financial profits. That is because clear strategic process and performance measurement are absent in time of the introduction of knowledge management. Based on case analysis in domestic construction industry, this research work presents an alternative plan on Balanced Scorecard(BSC) model. The objective of this study is to develop a model of strategic performance measurement in knowledge management by sorting and grasping core operational knowledge, which can draw key performance indicators accompanied by knowledge map from case study.

• Journal of Korean Institute of Industrial Engineers
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• v.39 no.3
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• pp.204-211
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• 2013

In this article, we propose a typology of industry convergences which encourages to invent new types of products and services through combining technologies across industries and identifying success factors of convergence industries which were resulted by industry convergences. In detail, the proposed typology of industry convergences is analyzed based on three viewpoints such as academic areas that provide the knowledge of convergence technologies, industry structures for the existing markets, and user experiences used for improving user friendliness. Such viewpoints can not only be considered as the sources for convergence industries but also be closely related with success factors of convergence industries. Based on the typology and the success factors of convergence industries, we suggest the implications about policies for the domestic industry convergence. It is expected that the results of this article can be widely applied to further activate industry convergences to overcome the recent global economic downturn.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.1
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• pp.5-19
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• 2015

Literatures on open innovation have two major limitations. First, either on a firm level or on an industry level did they analyze the open innovation issues. The results of a firm's innovation can be diffused through the whole network and the firm can learn back from the network knowledge. Prior literatures did not consider the feedback loop among firms and network in which the firms are involved. Second, most open innovation research had a static perspective on firm's innovation performance. Since the diffusion, spill-over and learning among network members are involved over time, the open innovation is intrinsically dynamic. From the dynamic perspective, we can appreciate the fundamental attributes of the open innovation network which involves diverse firms, research institutes, and universities. In order to overcome the limitations, we suggest a dynamic model for open innovation network. We build an agent-based model which consists of heterogeneous firms. The firms are connected through a scale-free network which is formed by preferential attachment. Through the diverse scenario of simulation, we collect massive data on the firm level and analyze them both on firm and industry level. From the analysis, we found that, on industry level, the overall performance of open innovation increases as the internal research capability, absorptive capacity, and learning curve coefficient increase. Noticeably, as the deprecation rate of knowledge increases, the variability of knowledge increases. From the firm level analysis, we found that the industry-level variables had a significant effect on the firm's innovation performance lasting through all the time, whereas the firm-level variables had only on the early phase of innovation.

• Knowledge Management Research
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• v.15 no.4
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• pp.147-170
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• 2014

This study investigates the main characteristics of Chinese automobile industry based on the technology learning, architecture theory and cluster. As a case study sample, we chose three most representative automobile firms from three main cities in China, FAW from northern part of China, SAIC from middle part of China, and BYD from southern part of China. According to the research findings, FAW has equipped self-production ability in virtue of political support but felled behind in future transportation due to lack of convergence with local cluster. In case of SAIS, similar phenomenon happened in spite of highest purchasing power of shanghai. BYD has achieved great quantum jump through the aggressive investment strategy in electric vehicle even though there are still many technological learning and experience to be cumulated. Overall, this research extends the current literature on key roles (technological learning, architecture, and cluster features) in the automobile industry growth by suggesting their crucial aspects in knowledge management and strategic planning to a newly emerging market, China, and sheds light on the relationship between regional characteristics and automobile growth.

• Journal of Korea Trade
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• v.24 no.8
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• pp.81-100
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• 2020

Purpose - Based on complexity theory, this study develops a configurational model to predict the profitability of Halal cosmetics firms in the Indonesian and Malaysian markets. The proposed research model involves two level configurations-industry context and selling strategies-to predict high and low scores of a firm's profitability. The industry context configuration model comprises industry stability, product homogeneity, price sensitivity, and switching cost. Selling strategies include customer-focused, competitor-focused, and margin-focused approaches. Design/methodology - This is the first empirical study that calculates causal models using a combination of industry context and selling strategy factors to predict profitability. Data obtained from the marketing managers of cosmetics firms are used to test the proposed configurational model using fuzzy-set qualitative comparative analysis (fsQCA). It contributes to the current knowledge of business marketing by identifying the factors necessary to achieve profitability using analysis of condition (ANC). Findings - The results revealed that unique and distinct models explain the conditions for high and low profitability in the Indonesian and Malaysian halal cosmetic markets. While customer-focused selling strategy is necessary to attain a higher profit in both the markets, margin-focused selling strategy appears to be an essential factor only in Malaysia. Complexity of the interactions of selling strategies with industry factors and differences between across two study markets confirmed that complexity theory can support the research configurational model. The theoretical and practical implications are also illustrated. Originality/value - Despite the rapid growth of the global halal industry, there is little knowledge about the halal cosmetic market. This study contributes to the current literature of the halal market by performing a set of asymmetric analytical approaches using a complex theoretical model. It also deepens our understating of how the Korean firms can approach the Muslim consumer's needs to generate more beneficial turnover/revenue.

• Knowledge Management Research
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• v.17 no.1
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• pp.73-89
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• 2016

The digital culture contents is one of the fastest growing industry in Korea and it accounts for 60% of the digital contents industry. This paper attempts to analyze economic impacts of the digital culture contents industry using input-output analysis. This study investigated the production-inducing effect, value-added-inducing effect and employment-inducing effect of the digital culture contents industry based on a demand-driven model. In addition, the study dealt with the supply shortage effect and sectoral price effect of the digital culture contents industry using a supply-driven model and the Leontief price model, including the inter-industry linkage effects of 29 sectors with the digital culture contents industry sector. Some interesting findings were drawn from the study. First, production of 1.0 won in the digital culture contents industry results in production-inducing effect of 2.39542 won, value-added effect of 1.29895 won and employment-inducing effect of 0.39657 persons in other industries. Second, the supply shortage of 1.0 won in the digital culture contents industry prevents other industries from producing 0.56631 won. Third, a 1% increase in the price level of the digital culture contents industry raises the overall price level by 0.06017%. Finally, very high backward linkage effects were found, but forward linkage effects were minimal.

• Journal of Information Technology Applications and Management
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• v.17 no.4
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• pp.19-38
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• 2010

This paper investigates the effect of stress on knowledge creation. The goal stress of resource inadequacy and job stress had negative influences on knowledge creation. However, the cohesion and mastery climate of team had positive influence on knowledge creation. Therefore this paper verifies the moderate role of the cohesion and mastery climate of team on the relationship between stress and knowledge creation. The model developed was tested using data collected from knowledge based industry with 375 members in 69 teams in 12 different firms. A Hierarchical Linear Model (HLM) was used to test the hypotheses generated from the model. Results show that job stress had a negative influence on knowledge creation as we expected but the goal stress didn't. The mastery climate of team affected knowledge creation positively and moderated the relationship between the goal stress and knowledge creation. Furthermore, the team cohesion had a positive influence on knowledge creation. The study provided some implications that practitioners should consider the stress when they design jobs for team members and suggest them the way to manage their job stress when they work.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.191-203
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• 2020

This study aims to present the differentiating factors of B2B salesperson competency through comparing the suppliers and buyers in Korean steel industry in their perception on the importance and priority of B2B salesperson competency. Based on previous studies, analysis on B2B salesperson competency has been analyzed using the B2B salesperson performance competency measure factors and appropriately reorganizing them for better application to the steel industry. The required performance competencies of B2B salesperson can be categorized into 3 different types, namely social exchange competency, advisory sales competency, and skill & knowledge competency. AHP analysis was performed for analyzing the relative importance of B2B salesperson competency based on the factors of previous studies, in which categorization of the aforementioned types had been done. As the result, first, it has been confirmed that there is a difference in 1st layer main factors between the supplier group and buyer group. The supplier group valued the advisory sales competency, while the buyer group valued skill & knowledge competency. Second, it has been proved that there is same result of relative importance in 2nd detailed factors between the supplier group and buyer group. Both group confirmed that customer member, identify customer needs and communication skill are very important factors. Third, as the result of analysis on the gap between B2B salesperson competency of the suppliers and buyers, the gap in the product knowledge and sales team member need improvement for buyer's satisfaction according to overall results of relative importance and priority. The steel supplier was able to develop B2B salesperson competency according to the buyers' needs based on the result of this study, and furthermore it is expected that this study will be able to contribute to increase in buyer competitiveness through differentiation in B2B salesperson competency.

• IE interfaces
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• v.25 no.1
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• pp.40-51
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• 2012

Today, many manufacturing companies realize that collaboration is crucial for their survival. Especially, in the perspective of quality, the importance of collaboration is emphasized because economic loss increases exponentially while defective parts go through the process in supply chain. However, the manufacturing companies are facing two main difficulties in implementing collaborative relationships with their suppliers. First, it is difficult for the suppliers to produce reliable products due to their obsolete facilities. The problem gets worse for second- or third-tire vendors. Second, the companies experience the lack of universally understandable set of terminology and effective methodologies for knowledge representation. Ontology is one of the best approaches to expressing and processing a domain knowledge. In this paper, we propose the manufacturing ontology-based quality prediction framework to represent and share the knowledge of industrial environment and to predict product quality in manufacturing processes. In addition, we develop the ontology-based quality prediction system based on the proposed framework. We carried out a series of experiments for an injection molding process at an automotive part supplier. The experimental results demonstrated that the proposed framework and system can be successfully applicable in manufacturing industry.